Explicating the mechanisms of land cover change in the New Eurasian Continental Bridge Economic Corridor region in the 21st century
文献类型:期刊论文
作者 | Fan Zemeng2,3,4; Li Saibo2,3; Fang Haiyan1,2,3 |
刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
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出版日期 | 2021-10-01 |
卷号 | 31期号:10页码:1403-1418 |
关键词 | land cover change driving forces spatiotemporal dynamic probability model integrated analysis model New Eurasian Continental Bridge Economic Corridor |
ISSN号 | 1009-637X |
DOI | 10.1007/s11442-021-1903-3 |
英文摘要 | Land cover change has presented clear spatial differences in the New Eurasian Continental Bridge Economic Corridor (NECBEC) region in the 21st century. A spatiotemporal dynamic probability model and a driving force analysis model of land cover change were developed to analyze explicitly the dynamics and driving forces of land cover change in the NECBEC region. The results show that the areas of grassland, cropland and built-up land increased by 114.57 million ha, 8.41 million ha and 3.96 million ha, and the areas of woodland, other land, and water bodies and wetlands decreased by 74.09 million ha, 6.26 million ha, and 46.59 million ha in the NECBEC region between 2001 and 2017, respectively. Woodland and other land were mainly transformed to grassland, and grassland was mainly transformed to woodland and cropland. Built-up land had the largest annual rate of increase and 50% of this originated from cropland. Moreover, since the Belt and Road Initiative (BRI) commenced in 2013, there has been a greater change in the dynamics of land cover change, and the gaps in the socio-economic development level have gradually decreased. The index of socio-economic development was the highest in western Europe, and the lowest in northern Central Asia. The impacts of socio-economic development on cropland and built-up land were greater than those for other land cover types. In general, in the context of rapid socio-economic development, the rate of land cover change in the NECBEC has clearly shown an accelerating trend since 2001, especially after the launch of the BRI in 2013. |
WOS关键词 | CLIMATE-CHANGE ; SCENARIOS ; IMPACTS ; CHINA ; URBAN ; TRADE ; BELT ; PATTERNS ; FUTURE ; WORLD |
资助项目 | National Key R&D Program of China[2017YFA0603702] ; National Key R&D Program of China[2018YFC0507202] ; National Natural Science Foundation of China[41971358] ; National Natural Science Foundation of China[41930647] ; National Natural Science Foundation of China[41977066] ; Strategic Priority Research Program (A) of the Chinese Academy of Sciences[XDA20030203] ; Innovation Project of LREIS[O88RA600YA] |
WOS研究方向 | Physical Geography |
语种 | 英语 |
WOS记录号 | WOS:000702396300001 |
出版者 | SCIENCE PRESS |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program (A) of the Chinese Academy of Sciences ; Innovation Project of LREIS |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/166103] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
推荐引用方式 GB/T 7714 | Fan Zemeng,Li Saibo,Fang Haiyan. Explicating the mechanisms of land cover change in the New Eurasian Continental Bridge Economic Corridor region in the 21st century[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2021,31(10):1403-1418. |
APA | Fan Zemeng,Li Saibo,&Fang Haiyan.(2021).Explicating the mechanisms of land cover change in the New Eurasian Continental Bridge Economic Corridor region in the 21st century.JOURNAL OF GEOGRAPHICAL SCIENCES,31(10),1403-1418. |
MLA | Fan Zemeng,et al."Explicating the mechanisms of land cover change in the New Eurasian Continental Bridge Economic Corridor region in the 21st century".JOURNAL OF GEOGRAPHICAL SCIENCES 31.10(2021):1403-1418. |
入库方式: OAI收割
来源:地理科学与资源研究所
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